جستجوی مقالات مرتبط با کلیدواژه « modeling » در نشریات گروه « پزشکی »

Considering the importance of positive mental health promotion for preventing psychosocial disorders and increasing physical health and productivity, it is necessary to identify the social determinants of health (SDH) to implement the necessary interventions to improve community health. The present study aims to identify the SDH of positive mental health in Iranian adults.

This is a quantitative and correlational study that was conducted on adults aged 30-60 years living in Tehran, Iran. The sample size was estimated to be 547 people using G*Power software. The samples were selected using a multi-stage random sampling method. After reviewing the literature and meeting with a panel of experts, the SDH list was extracted, and the conceptual model was plotted. The criteria for entering the model was a significance level (P≥0.2). At the end, the structural equation modeling method was applied. The tools used included the mental health continuum–short form, the socioeconomic status questionnaire, multidimensional scale of perceived social support, perceived stress scale-10 items, international physical activity questionnaire-short form, Neissi’s job security questionnaire, Ten Horn’s job security questionnaire, the visual analogue scale for occupational stress assessment, the neighborhood status checklist, Internet use checklist, and social security insurance checklist. The data was analyzed in SPSS software, version 21 and LISREL version 8.8.

The data of 607 questionnaires were analyzed. The mean age of participants was 44.04±9.4 years. The mean score of positive mental health was 45.96±8.65. Among structural determinants, the social class (B=0.181), socio-economic status (B=0.114), job position (B=0.08), building volume per capita (B=0.092) had positive effect on positive mental health, while education (B=-0.071) had negative effect. Among intermediary determinants, job satisfaction (B=0.16), social support (B=0.23) and insurance (B=0.14) had positive effect on positive mental health, while perceived stress (B=-0.62) had negative effect.

Improving socioeconomic status by increasing social support and job satisfaction can increase Iranian adults' positive mental health. On the other hand, the reduction of perceived stress can determine the positive mental health of Iranian adults both directly and indirectly.

Wastewater treatment plants are systems that can contribute to the health of the industry and the environment provided that they function properly. Mathematical and statistical simulators coupled with various models can be used to alleviate the costs of monitoring and managing wastewater treatment systems.

This is a retrospective descriptive- analytical study. Considering the complexity of biological processes along with the advances in data processing methods, algorithms (ANN) and M5 model tree were used in this study in order to make a modelto estimate the effluent COD in the sanitary wastewater treatment plant of one of the country's refineries. ANN and M5 were developed through learning and testing stages based on daily data of five consecutive years (2015-2020). Various statistical indicators such as MSE and R were used to evaluate the models. Ethical considerations were observed in all stages of the study.

In the ANN model with 100 hidden layers, through the training step, the amount of MSE and R respectively decreased and increased, compared to the two modes of 10 and 30 hidden layers. This is why 100 layers were chosen for this model. Also, in the M5 tree model, R-SqOptimal = 0.6147 was calculated by selecting independent data as input, which is significant at the 0.05 level. In other words, with 95% confidence, the developed model is considered sufficiently logical for predicting CODout. The results showed that the ANN model outperformed M5 model tree for predicting effluent COD with a coefficient of determination equal to 0.90 and 0.61, respectively.

Both models have high robustness, reliability and generalizability. Therefore, ANN and M5 model tree data mining techniques can be successfully used for environmental decision-making and estimation of lost data in wastewater treatment plants.

In recent years, some non-invasive methods have been developed to assess the state of health and disease of the skin and tissues. The evaluation of patients by the doctor in terms of skin complications and recovery after laser treatment is done visually and based on experience. Therefore, it is suggested to use quantitative and instrumental methods along with the visual evaluation dependent on the doctor. This research is designed with the aim of providing an optical system based on spectroscopy and the use of mobile phones to investigate the distinction between healthy and unhealthy tissue in order to monitor and investigate the process of skin disease.

Methods & Materials: 

Diffuse reflection spectrometry and spectrum-based imaging methods have been used in this research. Analysis of spectroscopic data from a skin lesion of blood vessels as a study, a spectroscopic imaging method is presented.

spectral data of the skin were analyzed and the difference between the absorption peak of the lesion with healthy skin and the skin with lesion was determined. In the following, using this distinction, the imaging system was proposed based on the results obtained from spectroscopy. This imaging system is a primary optical arrangement to obtain an image without mirror reflection and also to remove environmental factors such as ambient light. In fact, by choosing the index wavelength and lighting the lesion, it is possible to show a better distinction between that lesion and the surrounding healthy area. Also, in this system, a mobile camera is used as a detector.

After recording the image of the lesion and the healthy skin around it simultaneously in one image, image processing and quantification can be used to detect and check tissue changes.

Reliability is always of particular importance in system design and planning; thus, improving reliability is among the approaches for achieving a safe system. Simulation methods are widely used in system reliability assessment. Therefore, this study aims to assess the reliability of the City Gate Gas Station (CGS) using Monte Carlo Simulation (MCS).

This descriptive and analytical study was conducted in one of the CGSs of North Khorasan Province in 2021. The CGS process was carefully examined and its block diagram was plotted. Then, failure time data of CGS equipment were collected over 11 years and time between failures of subsystems was calculated. The failure probability distribution function of subsystems was determined using Easy Fit software and Kolmogorov-Smirnov test. Moreover, subsystems’ reliability was estimated by MCS. Finally, station reliability was calculated considering the series-parallel structure of the CGS.

The results revealed that the failure probability density distribution function of CGS subsystems was based on gamma and normal functions. The reliabilities of filtration, heater, pressure reduction system, and odorize were calculated as 0.97, 0.987, 0.98, and 0.992 respectively, and their failure rates were 0.000003477, 0.0000014937, 0.0000023062, and 0.0000009169 failures per hour respectively. The station reliability was calculated as 0.93.

The failure probability distribution function and reliability assessment of subsystems were determined by data modeling and MCS respectively. Filtration and pressure reduction systems had the highest failure rate and required a proper maintenance program.

Meritocracy is a long-standing desire that is intertwined with the nature of man's God-seeking nature. Every human being in his unconscious and pure nature always has the desire to be worthy, to be in contact with the worthy and to live in a society with a worthy government. In general, the efficiency of any organization depends on the way of management and correct use of its human resources, and a successful organization is able to achieve its goals by using experienced managers. Appointing competent people in suitable positions with their abilities, experiences and capabilities is a process that is reviewed in the form of meritocracy system. Managers need special managerial skills to succeed in the stormy sea of environmental changes. These competencies are not obtained by acquiring professional knowledge and information; Rather, this requires comprehensive development in the dimensions of personal and professional skills and transformation in the attitude and behavior of managers in organizations. Establishing a meritocracy system has countless results and benefits; Strengthening the sense of competitiveness, creating a culture of honoring outstanding and creative experts and employees, creating role models from successful experts, nurturing creative and innovative experts and providing a platform and creating motivation for the emergence of such people, reforming the disordered organizational culture, strengthening organizational solidarity, creating and strengthening occupational and organizational commitment, Strengthening self-confidence in employees, enriching the human capital of the organization. The research method of this article is descriptive analytical method with library technique.

Family functioning is one of the important indicators that guarantee the health and mental health of the family and its members. Therefore, this research aims to provide a prediction model of family function based on brain-behavioral systems in women; The mediating role of primary incompatible schemas was performed with the structural equation modeling approach.

The current research was a descriptive, correlational research based on structural equations. The population studied in this research were all married women who visited cultural centers in the 1st district of Tehran from July to November 2018. 324 married women were selected from the population according to the research variables and using available sampling, and answered the Epstein, Baldwin and Bishop family functioning questionnaires (2003), the short form of Young schema questionnaire (2005), and Carver and White behavioral activation and inhibition system scale (1994). The data were statistically analyzed with SPSS and AMOS software version 21 and using variance inflation factor and tolerance coefficient and a significant level of p<0.05.

Data analysis using structural equation modeling showed that the regression coefficients between behavior inhibition system and family functioning were negatively significant (p<0.01, β=0.167). On the other hand, the total path coefficient between the behavior activating system and family performance was positively significant at the significance level of 0.01 (p<0.01, β=0.262). Also, primary maladaptive schemas negatively predict family functioning (p < 0.01, β= -0.381).

The results showed that the behavioral inhibition system negatively and the behavioral activation system positively and significantly predict family performance. Early maladaptive schemas predict family functioning in female participants.

The assessment of the length of hospital s tay until recovery of patients with Covid-19 and its related factors in different areas can help manage the treatment process and prepare for the epidemic. This s tudy aimed to model the survival time until the recovery of COVID-19 definite patients.

This descriptive-analytical s tudy was retrospective. The s tatis tical population included all COVID-19 definite hospitalized in the educational and medical hospitals of Goles tan University of Medical Sciences from 20 February to 20 July 2020. The outcome variable was discharging confirmed cases of Covid-19. All analytical tes ts and charting were performed in R3.6.2 software.

From a total of 3480 confirmed patients, 77.5% recovered, and 22.5% experienced death at the end of the s tudy or were undergoing treatment. The median length of hospitalization in patients was 6 (IQR: 3-10) days. The mean age of all patients was 52.93±19.20 years; 58.2% of patients were over 49 years old, and half of the population were male. Women infected with Covid-19 survived and recovered 1.16 times more than men. Patients with an age group above 49 years of age had more recovery than their counterparts aged under 49 years.

As evidenced by the obtained results, apart from older adults, the prevalence of the disease needs to be evaluated more closely in young people and men, and these people should be monitored and screened frequently.

 Due to the complexities in the nature of ground water systems, it sounds like a demanding job to model either the time or the location of ground water. However, artificial neural networks have a high capability to model both complicated and non-linear models. Besides, Geostatistic Methods are, to a good extent, accurate in modelling ground water.

 The aim of this study is to simulate groundwater quality parameters (SAR, TDS and EC) of Dezful Andimeshk plain using ANN-PSO and geostatistical models. For this purpose, information from 61 observation wells in Dezful-Andimeshk plain has been used. Neural network model inputs including qualitative parameters SO42- ، pH ، HCO32-، Na+، Mg2+، Ca2+، TDS، SAR and EC were considered.

 The results of simulation with intelligent model showed that the highest accuracy of ANN-PSO model in simulation is related to EC, SAR and TDS parameters, respectively. The results of interpolation by geostatistical method showed that the highest accuracy of Kriging model in simulation is related to EC, TDS and SAR parameters, respectively. The general results obtained from the simulation of groundwater quality parameters showed that the ANN-PSO model is more accurate in simulating the groundwater quality parameters of the plain in Andimeshk than the Kriging model. So that the value of R2 for simulating SAR, TDS and EC parameters using ANN-PSO model in the test phase is 0.92, 0.918 and 0.955 respectively and using kriging model is 0.902. 0.915 and 0.931 were estimated.

 The results of this study also showed that the combination of intelligent models with optimization algorithms is used as a useful tool to simulate groundwater quality parameters.

Not having a suitable planning model is one of the most important barriers to strategic planning in hospitals of Iran. This study aims to design a strategic planning model for hospitals affiliated to Islamic Azad University in Iran.

In this applied study, the review, comparative, quantitative and qualitative methods were used. First, different strategic planning models were collected and, based on them, a conceptual model was designed. Then, a researcher-made questionnaire was designed based on the different dimensions of the model and validated according to a panel of experts. The questionnaire was completed by 30 experts and the results were analyzed using one-way analysis of variance, and the model was finalized by applying the Delphi method.

Regarding the steps of strategic planning, the factors “formation of planning team” (5±0), and “creating the culture and scientific ability for planning in managers and employees” (4.87±0.34) obtained the highest scores. Regarding the implementation steps of the plan, the factors “receiving and implementing the approved plan” (4.87±0.34) and “monitoring of approved plans and their continuous evaluation” (4.87±0.34) had the highest scores. Regarding the strategic planning team members, “hospital manager” (5±0), and “one expert in planning” (4.87±0.46) obtained the highest scores.

The use of the presented strategic planning model based on its implementation steps by a team with the suggested members can improve the stages of developing and implementing plans in hospitals affiliated to Islamic Azad University.

With the help of the electronic revolution, transformation is taking place in the field of education today. Multimedia training increases learners' comprehension and memorization skills. Considering that a number of multimedia are widely used in education in the third millennium, the aim of this study was to investigate the role of colors promoting teaching and learning with new technologies and modeling based on the teachings of the Qur’an and Hadith through a comparative study.

In this study, the qualitative research method was used to determine the role of colors in the health of third millennium education. Thus, in the first step, concepts and types of colors in Qur’anic and religious concepts were studied using the library method and the literature review approach. In the second step, the effect of colors in third millennium education was analyzed and internal factors affecting education were identified.

In the artistic reflection of the Qur’an, colors and images play a special role and they imply the power of God and Rabbani. Moreover, in the discussion of novel technologies, the selection of appropriate colors can increase the readability of the text on the display and increase benefits such as minimal cognitive load and learning persistence and is one of the most effective ways to increase interaction with learners. Colors can also lead to concentration of thought and / or attention to the pervasive sense of learning.

In the third millennium, education has changed a lot and the electronic revolution has introduced multimedia learning into the education system. Since in this type of learning, images and colors can improve the learning quality, educational designers need to be aware of the psychology of colors and to influence people’s performance.

 AERMOD model is a Gaussian model, which is widely used to model the emission of air pollutants from different sources and for distances less than 50 km from emission sources. Nowadays, petrochemical industries are one of the essential and cost-effective industries for the country. So, along with the progress of these industries, air pollution control should be considered. The purpose of this study is to model the dispersion of two pollutants, carbon monoxide, and nitrogen oxides, emitted from Maroon petrochemical stacks.

 In this study, the emission of carbon monoxide and nitrogen oxides from the stacks of the Maroon Petrochemical Complex was modeled using the AERMOD model in 2019. For modeling the dispersion of pollutants using AERMOD, which is the model proposed by the EPA for comprehensive studies of air pollution, the three-hour data from Bandar Mahshahr synoptic station as well as a digital elevation model with 30 m pixel size were gathered and then modeling was done in an area of 2500 square kilometers. 

 The results indicated that the average annual concentration of nitrogen dioxide and carbon monoxide pollutants was 1.44 and 1.3 mg/m3, respectively, at a distance of 900 meters from the stacks. This land area includes Maroon Petrochemical Complex and does not affect residential areas.

 The results of this study also indicated that the AERMOD model is suitable for comprehensive studies, with a focus on pollution concentration. The results of this study showed that the concentration of carbon monoxide and nitrogen dioxide pollutants is lower than the standards assigned by the Iranian Department of Environment. Maintenance programs, employee health monitoring, output control, and appropriate controls under EPA recommendations have a significant impact on controlling and reducing pollutant emissions. The result of this study also showed that the AERMOD model is highly efficient in comprehensive air pollution studies that require a detailed investigation of pollutant concentration.